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Aim
To investigate the relation between autonomic regulation, measured using heart rate variability (HRV), body weight and degree of prematurity in infants. Further to assess utility to include body weight in a machine learning‐based sepsis prediction algorithm.
Methods
Longitudinal cohort study including 378 infants hospitalised in two neonatal intensive care units. Continuous vital sign data...
Aim
Sepsis is a leading cause of morbidity and mortality in neonates. Early diagnosis is key but difficult due to non‐specific signs. We investigate the predictive value of machine learning‐assisted analysis of non‐invasive, high frequency monitoring data and demographic factors to detect neonatal sepsis.
Methods
Single centre study, including a representative cohort of 325 infants (2866 hospitalisation...
low- and middle-income countries still have a long way to go to reach the fifth Millennium Development Goal of reducing maternal mortality. Mozambique has accomplished a reduction of maternal mortality since the 1990s, but still has among the highest in the world. A key strategy in reducing maternal mortality is to invest in midwifery.the objective was to explore midwives’ perspectives of their working...
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